This paper is published in Volume-3, Issue-1, 2017
Area
Data Mining
Author
Manoj Kumar
Co-authors
Mrs. Meenu
Org/Univ
Madan Mohan Malaviya University of Technology Gorakhpur U.P., India
Pub. Date
30 January, 2017
Paper ID
V3I1-1254
Publisher
Keywords
Data Preprocessing, Pattern Analysis, Pattern Discovery, Web Usage Mining.

Citationsacebook

IEEE
Manoj Kumar, Mrs. Meenu. A Survey on Pattern Discovery of Web Usage Mining, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Manoj Kumar, Mrs. Meenu (2017). A Survey on Pattern Discovery of Web Usage Mining. International Journal of Advance Research, Ideas and Innovations in Technology, 3(1) www.IJARIIT.com.

MLA
Manoj Kumar, Mrs. Meenu. "A Survey on Pattern Discovery of Web Usage Mining." International Journal of Advance Research, Ideas and Innovations in Technology 3.1 (2017). www.IJARIIT.com.

Abstract

In the recent years with the development of Internet technology the growth of World Wide Web exceeded all expectations. A lot of information is available in different formats and retrieving content has become a very difficult task. One possible approach to solving problem is Web Usage Mining (WUM). Web mining is the application of data mining on web data and web usage mining is an important component of web mining. The goal of web usage mining is to understand the behavior of website users through the process of data mining of web data and Web usage mining is to understand the behavior of website users through the process of data mining of web Access data. knowledge obtained from web usage mining can be used to enhance web design, introduce personalization service and facilitate more effective browsing the important an application of web mining extracting the hidden knowledge in the log files of a web server recognizing various interests of web users, discovering customer behaviour while at the site are normally referred as the application of web usage mining. In this paper, we provide an updated focused survey on different pattern discovery techniques of web usage mining.
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